Idea Details

Team and Contact Details

SNo Student Name School Degree Year Email
1Aziz Ur RehmanCEMEUndergraduateFourthi.azizrehman1@gmail.com
1Taimur IbrahimCEMEUndergraduateFourthtai.him18gmail.com
1Ammar AmjadCEMEUndergraduateFourthammar_amjad@ymail.com
1Syed Mohammad AliCEMEUndergraduateFourthmohammadali18997@gmail.com

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

Idea Name: DeepVehicle Tagging
Slogan: Just keep tagging
Supervisor Name: Sajid Gul Khawaja
Supervisor Designation: Assistant Professor
Supervisor School: College of Electrical and Mechanical Engineering
Supervisor Department: Department of Computer Engineering
Contact number: +(92)-51-9278050-4124
Email ID: sajid.gul@ceme.nust.edu.pk
Abstract:
    This project will provide vehicle tagging using real-time deep learning and big data.
What is the unmet need in society that your idea will fulfill ?
    Stolen vehicle detection and lessening the burden on officers by automating the vehicle tagging. We can also provide timely threat detection by analyzing the pedestrian behavior.
Who needs it ? How many would benefit ?
   It will benefit all vehicle owners, traffic police and pedestrians.
How will the solution works
    We will use Intel Movidius Neural Compute Stick to perform real-time deep learning on video data from cameras to extract the vehicle tags. The data will be synced between the nodes by big data.
Who are your competitors ? How is your solution different
    One of our main local competitors is TECHNO ONE with their E-TAG solution. Their use case is more oriented towards an entry for a building or a restricted area. Our solution focuses mainly on tagging cars in moving traffic and our solution will cost less.
Status: Approved
Entry Date & Time: 2019-01-15 (0837)